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- •Foreword
- •Table of Contents
- •1.1. A preliminary word to the user of R&D data
- •1.2. Coverage of the Manual and the uses of R&D statistics
- •Table 1.1. OECD methodological manuals
- •1.4. R&D input and output
- •1.5. R&D and related activities
- •1.5.1. Research and experimental development (R&D)
- •1.5.2. Scientific and technological activities (STA)
- •1.5.3. R&D and technological innovation
- •1.5.4. The identification of R&D in software, social sciences and service activities
- •1.5.5. R&D administration and other supporting activities
- •1.6. R&D in all fields of science and technology is covered
- •1.7. Measures of R&D inputs
- •1.7.1. R&D personnel
- •1.7.2. R&D expenditures
- •1.7.3. R&D facilities
- •1.7.4. National R&D efforts
- •1.9. Classification systems for R&D
- •1.9.1. Institutional classifications
- •1.9.2. Functional distribution
- •1.10. R&D surveys, reliability of data and international comparability
- •1.11. Government budget appropriations or outlays for R&D (GBAORD)
- •1.12. Topics of special interest
- •1.13. A final word to the user of R&D data
- •2.1. Research and experimental development (R&D)
- •2.2. Activities to be excluded from R&D
- •2.2.1. Education and training
- •2.2.2. Other related scientific and technological activities
- •2.2.3. Other industrial activities
- •2.2.4. Administration and other supporting activities
- •2.3. The boundaries of R&D
- •2.3.1. Criteria for distinguishing R&D from related activities
- •2.3.2. Problems at the borderline between R&D and education and training
- •Table 2.2. Borderline between R&D and education and training at ISCED level 6
- •2.3.3. Problems at the borderline between R&D and related scientific and technological activities
- •2.3.4. Problems at the borderline between R&D and other industrial activities
- •Table 2.3. Some cases at the borderline between R&D and other industrial activities
- •2.3.5. Problems at the borderline between R&D administration and indirect supporting activities
- •2.4.1. Identifying R&D in software development
- •2.4.2. Identifying R&D in the social sciences and humanities
- •2.4.3. Special problems for identifying R&D in service activities
- •3.1. The approach
- •3.2. The reporting unit and the statistical unit
- •3.2.1. The reporting unit
- •3.2.2. The statistical unit
- •3.3. Sectors
- •3.3.1. Reasons for sectoring
- •3.3.2. Choice of sectors
- •3.3.3. Problems of sectoring
- •3.4. Business enterprise sector
- •3.4.1. Coverage
- •3.4.2. The principal sector sub-classification
- •3.4.3. Other institutional sub-classifications
- •3.5. Government sector
- •3.5.1. Coverage
- •3.5.2. The principal sector sub-classification
- •3.5.3. Other institutional sub-classifications
- •3.6.1. Coverage
- •3.6.2. The principal sector sub-classification
- •Table 3.2. Fields of science and technology
- •3.6.3. Other institutional sub-classifications
- •3.7. Higher education sector
- •3.7.1. Coverage
- •3.7.2. The principal sector sub-classification
- •3.8. Abroad
- •3.8.1. Coverage
- •3.8.2. The principal sector sub-classification
- •3.8.3. Other institutional sub-classifications
- •3.8.4. Geographic area of origin or destination of funds
- •4.1. The approach
- •Table 4.1. Utility of functional distributions
- •4.2. Type of R&D
- •4.2.1. Use of distribution by type of R&D
- •4.2.2. The distribution list
- •4.2.3. Criteria for distinguishing between types of R&D
- •Table 4.2. The three types of research in the social sciences and humanities
- •4.3. Product fields
- •4.3.1. Use of distribution by product fields
- •4.3.2. The distribution list
- •4.3.3. Criteria for distribution
- •4.4. Fields of science and technology
- •4.4.1. Use of distribution by field of science and technology
- •4.4.2. The distribution list
- •4.4.3. The criteria for distribution
- •4.5. Socio-economic objectives
- •4.5.2. Minimum recommended breakdown
- •4.5.3. The distribution list
- •4.5.4. The criteria for distribution
- •5.1. Introduction
- •Table 5.1. R&D and indirect support activities
- •5.2. Coverage and definition of R&D personnel
- •5.2.1. Initial coverage
- •5.2.2. Categories of R&D personnel
- •5.2.3. Classification by occupation
- •5.2.4. Classification by level of formal qualification
- •5.2.5. Treatment of postgraduate students
- •5.3. Measurement and data collection
- •5.3.1. Introduction
- •5.3.2. Headcount data
- •5.3.3. Full-time equivalence (FTE) data
- •5.3.4. Recommended national aggregates and variables
- •5.3.5. Cross-classified data by occupation and qualification
- •Table 5.4. R&D personnel classified by occupation and by formal qualification
- •5.3.6. Regional data
- •6.1. Introduction
- •6.2. Intramural expenditures
- •6.2.1. Definition
- •6.2.2. Current costs
- •6.2.3. Capital expenditures
- •6.3. Sources of funds
- •6.3.1. Methods of measurement
- •6.3.2. Criteria for identifying flows of R&D funds
- •6.3.3. Identifying the sources of flows of R&D funds
- •6.4. Extramural expenditures
- •6.6. Regional distribution
- •6.7. National totals
- •6.7.1. Gross domestic expenditure on R&D (GERD)
- •Table 6.1. Gross domestic expenditure on R&D (GERD)
- •6.7.2. Gross national expenditure on R&D (GNERD)
- •Table 6.2. Gross national expenditure on R&D (GNERD)
- •7.1. Introduction
- •7.2. Scope of R&D surveys
- •7.3. Identifying target population and survey respondents
- •7.3.1. Business enterprise sector
- •7.3.2. Government sector
- •7.3.3. Private non-profit sector
- •7.3.4. Higher education sector
- •7.3.5. Hospitals
- •7.4. Working with respondents
- •7.4.2. Operational criteria
- •7.5. Estimation procedures
- •7.5.1. Unit and item non-response
- •7.5.2. Estimation procedures in the higher education sector
- •7.6. Reporting to the OECD or to other international organisations
- •8.1. Introduction
- •8.2. Relationship with other international standards
- •8.3. Sources of budgetary data for GBAORD
- •8.4. Coverage of R&D
- •8.4.1. Basic definition
- •8.4.2. Fields of science and technology
- •8.4.3. Identifying R&D
- •8.5. Definition of government
- •8.6. Coverage of government budget appropriations and outlays
- •8.6.1. Intramural and extramural expenditures
- •8.6.2. Funding and performer-based reporting
- •8.6.3. Budgetary funds
- •8.6.4. Direct and indirect funding
- •8.6.5. Types of expenditure
- •8.6.6. GBAORD going to R&D abroad
- •8.7.1. Criteria for distribution
- •8.7.2. Distribution of budgetary items
- •8.7.3. The distribution
- •8.7.4. Socio-economic objectives – SEO
- •Table 8.1. Standard key between NABS 1992 and previous OECD GBAORD objectives
- •Table 8.2. Standard key between NABS 1992 and Nordforsk GBAORD objectives
- •8.7.5. Principal areas of difficulty
- •8.8. Main differences between GBAORD and GERD data
- •8.8.1. General differences
- •8.8.2. GBAORD and government-financed GERD
- •8.8.3. GBAORD and GERD by socio-economic objectives
- •Table 1. Summary of sectors in the SNA and in the Frascati Manual
- •Table 2. Sectors and producers in the SNA
- •Table 5. Gross output and total intramural R&D
- •Table 1. Identifying health-related R&D in GBAORD
- •Table 2. Health-related R&D from performer-reported data: business enterprise sector
- •Table 3. Identifying health-related R&D by field of science and socio-economic objective
- •Table 2. Current classification of French, UK and US terminology in the Frascati Manual
- •Acronyms
- •Bibliography
- •Index by Paragraph Number
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2 BASIC DEFINITIONS AND CONVENTIONS
–The keeping of daily records of temperatures or of atmospheric pressure is not R&D but the operation of a weather forecasting service or general data collection. The investigation of new methods of measuring temperature is R&D, as are the study and development of new systems and techniques for interpreting the data.
–R&D activities in the mechanical engineering industry often have a close connection with design and drawing work. In small and medium-size enterprises (SMEs) in this industry, there is usually no special R&D department, and R&D problems are mostly dealt with under the general heading “design and drawing”. If calculations, designs, working drawings and operating instructions are made for the setting up and operating of pilot plants and prototypes, they should be included in R&D. If they are carried out for the preparation, execution and maintenance of production standardisation (e.g. jigs, machine tools) or to promote the sale of products (e.g. offers, leaflets, catalogues of spare parts), they should be excluded from R&D.
2.3.2. Problems at the borderline between R&D and education and training
General approach
86.In institutions of higher education, research and teaching are always very closely linked, as most academic staff do both, and many buildings, as well as much equipment, serve both purposes.
87.Because the results of research feed into teaching, and because information and experience gained in teaching can often result in an input to research, it is difficult to define where the education and training activities of higher education staff and their students end and R&D activities begin, and vice versa. Its elements of novelty distinguish R&D from routine teaching and other work-related activities. Deciding whether or not to consider as R&D those scientific activities that are the by-products of educational or training activities does present a problem.
88.It exists for a number of the following cases:
–Postgraduate students at the PhD level and their activities.
–Supervision of students by university staff.
–Specialised health care.
–Personal education of academic staff (own reading).
Postgraduate students at the PhD level
89. In some OECD countries, the “postgraduate student” is not a standard national category. In such cases, the R&D activity of such persons is probably included with that of other part-time teaching staff.
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2BASIC DEFINITIONS AND CONVENTIONS
90.However, in countries where such students constitute a recognised category, the borderline between their R&D and their education and training is particularly hard to establish. The activities of both the postgraduate students themselves and of their teachers need to be taken into consideration.
91.Parts of the curricula for studies at ISCED level 6 are highly structured, involving, for instance, study schemes, set courses, compulsory laboratory work, etc. Here, the teacher transmits knowledge and trains in research methods. Students who fall under this heading typically attend compulsory courses, study the literature on the subject, learn research methodology, etc. These activities do not fulfil the criterion of novelty specified in the definition of R&D.
92.In addition, in order to obtain a final qualification at ISCED level 6, students are also expected to prove their competence by undertaking relatively independent study usually containing the elements of novelty required for R&D projects and presenting their results. These activities should, therefore, be attributed to R&D, and any supervision by the teacher should be as well. In addition to R&D performed within the framework of courses of postgraduate education, it is possible for both teachers and students to be engaged in other R&D projects.
93.In addition, students at this level are often attached to or directly employed by the establishment in which they study and have contracts or similar engagements which oblige them to teach at lower levels or to perform other activities, such as specialised medical care, while allowing them to continue their studies and to do research.
94.Borderlines between R&D and education at ISCED level 6 are illustrated in Table 2.2 which, together with much of the above text, is based on the relevant Nordic Manual, R&D Statistics in the Higher Education Sector: Work on Improved Guidelines (Nordforsk, 1986). The more practical problems of applying these concepts are dealt with in Chapter 5 (see Section 5.2.5).
Supervision of students
95.Closely allied to the problem of identifying the R&D element of postgraduate students’ work is that of extracting the R&D component of the time spent by academic supervisors on supervising these students and their research projects.
96.Such supervision activities should be included in R&D only if they are equivalent to the direction and management of a specific R&D project containing a sufficient element of novelty and having as its object to produce new knowledge. In such cases, both the academic staff member’s supervision and the student’s work should be included as R&D. If the supervision merely deals with the teaching of R&D methods and the reading and correction of
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2 BASIC DEFINITIONS AND CONVENTIONS
Table 2.2. Borderline between R&D and education and training at ISCED level 6
|
Education and training at level 6 |
R&D |
Other activities |
|
|
|
|
|
|
Teachers |
1. |
Teaching students at level 6. |
|
|
|
2. |
Training students at level 6 |
|
|
|
|
in R&D methodology, |
|
|
|
|
laboratory work, etc. |
|
|
3.Supervision of R&D projects required for student qualification at level 6.
4.Supervision of other R&D projects and performance of own R&D projects.
5. Teaching at levels lower than level 6.
6. Other activities.
Postgraduate students |
1. Course work for formal |
|
qualification. |
|
|
2.Performing and writing up independent studies (R&D projects) required for formal qualification.
3. Any other R&D activities.
4. Teaching at levels lower
than level 6.
5. Other activities.
Source: OECD.
theses and dissertations or the work of undergraduate students, it should be excluded from R&D.
Specialised health care
97. In university hospitals where the training of medical students is an important activity in addition to the primary activity of health care, the activities of teaching, R&D and advanced as well as routine medical care are frequently closely linked. “Specialised health care” is an activity that is normally to be excluded from R&D (see Section 2.2.2). However, there may be an element of R&D in what is usually called specialised health care, when carried out, for example, in university hospitals. It is difficult for university doctors and their assistants to evaluate the part of their overall activities that is exclusively R&D. If, however, time and money spent on routine medical care are included in the R&D statistics, R&D resources in the medical sciences will be overestimated.
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